Evidence map›Paper›PMID 30478300›Full record

ArticleScientific reports2018

Evaluation of a preclinical photon-counting CT prototype for pulmonary imaging.

Felix K Kopp, Heiner Daerr, Salim Si-Mohamed, Andreas P Sauter, Sebastian Ehn, Alexander A Fingerle, Bernhard Brendel, Franz Pfeiffer, Ewald Roessl, Ernst J Rummeny and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Felix K KoppDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany. felix.kopp@tum.de.
Heiner DaerrPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Salim Si-MohamedDepartment of Interventional Radiology and Cardio-vascular and Thoracic Diagnostic Imaging, Louis Pradel University Hospital, Bron, France.
Andreas P SauterDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0003-4394-862X
Sebastian EhnChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technische Universität München, 85748, Garching, Germany.
Alexander A FingerleDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany.
Bernhard BrendelPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Franz PfeifferChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technische Universität München, 85748, Garching, Germany.
Ewald RoesslPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Ernst J RummenyDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany.
Daniela PfeifferDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany.
Roland ProksaPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Philippe DouekDepartment of Interventional Radiology and Cardio-vascular and Thoracic Diagnostic Imaging, Louis Pradel University Hospital, Bron, France.
Peter B NoëlDepartment of diagnostic and interventional Radiology, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0002-9671-6171

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 13GW0072CDeutsche Forschungsgemeinschaft (German Research Foundation) GRK 2274EC | Horizon 2020 (European Union Framework Programme for Research and Innovation) 643694
6 · The paper itself

Abstract

The purpose of this study was to investigate a preclinical spectral photon-counting CT (SPCCT) prototype compared to conventional CT for pulmonary imaging. A custom-made lung phantom, including nodules of different sizes and shapes, was scanned with a preclinical SPCCT and a conventional CT in standard and high-resolution (HR-CT) mode. Volume estimation was evaluated by linear regression. Shape similarity was evaluated with the Dice similarity coefficient. Spatial resolution was investigated via MTF for each imaging system. In-vivo rabbit lung images from the SPCCT system were subjectively reviewed. Evaluating the volume estimation, linear regression showed best results for the SPCCT compared to CT and HR-CT with a root mean squared error of 21.3 mm

Indexed as

AnimalsHumansLinear ModelsLungPhantoms, ImagingPhotonsRabbitsTomography, X-Ray Computed

Identifiers

PMID30478300
PMCPMC6255779

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.